位置:#宝安 名字:#乐乐 (混血) 课费:抓龙筋spa 659(60分钟 ) 899P 1680PP 💓私聊:@Dianna0123 💓频道 :https://t.me/dianna011d ✏️标签:#舌吻 #六九互动 #毒龙舔蛋 #抓龙筋 #丝袜制服

Channel
深圳嫩妹少妇约炮榜
@DGXC008
On this record: Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
40,784subscribers
+3,689 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002285707422 |
|---|---|
| Type | Channel |
| Username | @DGXC008 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 3 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 3 September 2026 |
| On Telegram | t.me/DGXC008 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 10:45 | 40,784 | +153 |
| 2 Sept 2026, 04:44 | 40,631 | +189 |
| 1 Sept 2026, 03:56 | 40,442 | +115 |
| 31 Aug 2026, 05:13 | 40,327 | +98 |
| 30 Aug 2026, 06:25 | 40,229 | +116 |
| 29 Aug 2026, 07:39 | 40,113 | +181 |
| 28 Aug 2026, 08:04 | 39,932 | +219 |
| 27 Aug 2026, 05:58 | 39,713 | +186 |
| 26 Aug 2026, 02:24 | 39,527 | +83 |
| 25 Aug 2026, 01:32 | 39,444 | +48 |
| 23 Aug 2026, 17:34 | 39,396 | +209 |
| 22 Aug 2026, 06:07 | 39,187 | +111 |
| 20 Aug 2026, 19:48 | 39,076 | +221 |
| 19 Aug 2026, 17:56 | 38,855 | +140 |
| 18 Aug 2026, 20:54 | 38,715 | +173 |
| 17 Aug 2026, 18:15 | 38,542 | +86 |
| 16 Aug 2026, 17:57 | 38,456 | +220 |
| 15 Aug 2026, 06:43 | 38,236 | +263 |
| 14 Aug 2026, 00:57 | 37,973 | +262 |
| 12 Aug 2026, 22:03 | 37,711 | first reading |
Engagement
127 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 58 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.949%
- avg views ÷ 40,784 subscribers
- Avg views / post
- 387
- 127 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 127
- of 127 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 127 (6 August 2026 – 3 September 2026) |
| Views total | 49,154 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 07:46 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Video runtime
- 11m 31s
- Average length
- 12s
Measured directly from 57 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Recent posts
位置:#宝安 #固戍 名字: #觅觅 课费: 398 口➕手出 50分钟 498 无套口爆 60分钟 💓私聊:@mimi1999v 💓频道 :https://t.me/mimih266 ✏️标签: #舌尖漫游 #六九互动 #舔蛋吃蛋 #十指调情 #制服丝袜
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位置:#宝安 名字:#莹莹 课费:500P 800PP 💓私聊:@yyyyds7 💓频道:https://t.me/bnsns9 💖双向联系人:@baoanyybot ✏️标签:#舌吻 #六九 #口爆 #水多 #颜射
位置:#宝安 名字:#雯雯 课费 :1300P 2400PP 💓私聊: @wenwen772 💓频道:https://t.me/+bRMoLTz91pwwY2U1 💖双向机器人:@wenwen772bot ✏️标签: #鸳鸯浴 #无套口吹 #制服丝袜 #激情爱爱 #胸推高跟
位置:#南山 名字:#糖果 课费 :1200P 2200PP 💓私聊: @tangguo111888 💓频道:https://t.me/tangguodexiaojiating188 💖双向机器人:@tangguozusou_Bot ✏️标签: #舌吻 #鸳鸯浴 #无套口吹 #制服丝袜 #皮肤白嫩
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Showing the 12 most recent of 127 posts we hold for @DGXC008. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Posts edited after publishing
@DGXC008 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 14 August 2026
- Most recent edit
- 14 August 2026
Mentions
Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 1,638,0177 posts深圳奔驰修车大队(纯净版)
@BCXC0001 · 22,3626 posts深圳奔驰修车大队报告榜
@Benchixiuche168 · 29,3776 posts🎁免费抽奖助手🎁
@tgLotteryuw8bot · 11,5726 postsTelegram抽奖活动
@xiu8che · 97,4696 posts深圳宝安环保F罩杯巨乳小糖糖
@dudu95abc · 16,6882 posts南山 初音· あんじ 疗愈私密抓龙筋SPA
@ggs66633 · 14,4732 posts深圳库洛米嫩妹丝足抓龙筋SM⭕️
@szklmgp · 10,1292 posts深圳南山毛毯熊抓龙筋丝足SM
@szmtxpd · 3,4052 posts💎钻石深圳高端大圈频道
@zuanshi11223344 · 1092 posts💎钻石深圳质量中圈频道
@zuanshi16888 · 1682 posts宝安小雨频道🌹个人自聊
@abc5858158 · 2,0571 post深圳魅色·寸止极享抓龙筋共浴SPA
@meisSPA520 · 11,4311 post深圳南山小花老师疗愈抓龙筋城堡
@nsxh1xh520 · 4,5591 post小宝
@qzxqxl · 141 post深圳宝安吉伊抓龙筋丝足SM
@szbajypd · 4,2571 post深圳幻欲の私享半裸抓龙筋SPA
@szhyzlj · 17,0191 post深圳嫩妹丝足抓龙筋报告
@szklmbg · 1,9951 post静宜的频道
@wan_dao · 4,8961 post深圳沙井莞式至尊95
@wwyy58858 · 4361 post深圳🔥🔥南山🔥175小糯米御姐极品冷白皮车模1群
@xiaonuomihenbang · 18,8471 post深圳个人小樱桃🍒宝宝欢乐屋🏘️
@xiaoyintao66Aa · 1,1231 post龙岗栖月
@xiyeuya2006 · 201 post南山小依个人频道
@yyy62232 · 3,4251 post
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@DGXC008 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 9 August 2026 – 9 August 2026
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 3 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳嫩妹少妇约炮榜” (@DGXC008), 40,784 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/DGXC008.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.